Title :
Combination of polar edge detection and active contour model for automated tongue segmentation
Author :
Zuo, Wangmeng ; Wang, Kuanquan ; Zhang, D. ; Hongshi Zhang
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
Abstract :
Tongue diagnosis is an important diagnosis method in traditional Chinese medicine (TCM) and recently the development of automated tongue image analysis technology has been carried out. Automated tongue segmentation is difficult due to the complexity of pathological tongue, variance of tongue shape and interference of the lips. In this paper, we present a novel method for automated tongue segmentation by combining polar edge detector and active contour model. First, a novel polar edge detector is proposed to effectively extract the edge of the tongue body. We then introduce a method to filter out the edge that is useless for tongue segmentation. A local adaptive edge bi-thresholding technique is also proposed. Finally, an initialization and active contour model are proposed to segment the tongue body from the image. Experimental results demonstrate that the novel tongue segmentation can segment the tongue accurately. A quantitative evaluation on 50 images indicates that the mean DCP (the distance to the closest point) of the proposed method is 5,86 pixels, and the average true positive (TP) percent is 97.2%.
Keywords :
biological organs; edge detection; image segmentation; medical image processing; patient diagnosis; active contour model; automated tongue image analysis technology; automated tongue segmentation; local adaptive edge bithresholding technique; polar edge detection; polar edge detector; tongue diagnosis; traditional Chinese medicine; Active contours; Biomedical imaging; Detectors; Image edge detection; Image segmentation; Interference; Medical diagnostic imaging; Pathology; Shape; Tongue; active contour model; automated tongue segmentation; polar edge detection; tongue diagnosis;
Conference_Titel :
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location :
Hong Kong, China
Print_ISBN :
0-7695-2244-0
DOI :
10.1109/ICIG.2004.48